Juan Mejía Trejo
Titular Research Professor of Marketing and International Business Department at Universidad de Guadalajara-CUCEA. Dean of Phd. in Administrative Sciences
juanmejiatrejo@hotmail.com; jmejia@cucea.udg.mx México

José Sánchez Gutiérrez
Chief of Marketing and International Business Department at Universidad de Guadalajara-CUCEA. Chair and President of Red Internacional de Investigadores en Competitividad (RIICO). SNI Level I CONACYT Member

1980-2010. Vicepresident of several industrial groups in Jalisco, México

1986-2015. Chief of Marketing and International Business Department at Universidad de Guadalajara-CUCEA.

2005-2015.Chair and President of Red Internacional de Investigadores en Competitividad (RIICO).

Guillermo Vázquez Ávila
Titular Research Professor of Marketing and International Business Department at Universidad de Guadalajara-CUCEA.Red Internacional de Investigadores en Competitividad (RIICO). SNI Level I CONACYT Member

1980-1995. Consultant Project Mnager for several enterprises in metal mecanica.

1996-2015. Titular Research Professor of Marketing and International Business Department at Universidad de Guadalajara-CUCEA.Red Internacional de Investigadores en Competitividad (RIICO). SNI Level I CONACYT

Empirical Model for Mobile Learning and their Factors. Case Study: Universities located in the Urban City of Guadalajara, México

Juan Mejía Trejo, José Sánchez Gutiérrez, Guillermo Vázquez Ávila

Resumen

Information and communication technologies (ICT) are producing new and innovative teaching-learning processes. The research question we focused on is: Which is the empirical model and the factors for mobile learning at universities located within the Metropolitan Zone of Guadalajara, in Jalisco, México? Our research is grounded on a documentary study that chose variables used by specialists in m-learning using Analytic Hierarchy Process (AHP). The factors discovered were three: Technology (TECH); Contents Teaching-Learning Management and Styles (CTLMS); and Professor and Student Role (PSR). We used 13 dimensions and 60 variables. 20 professors and 800 students in social sciences courses participated in the study; they came from 7 universities located in the Urban City of Guadalajara, during 2013-2014 school cycles (24 months). We applied questionnaires and the data were analyzed by structural equations modeling (SEM), using EQS 6.1 software. The results suggest that there are 9/60 variables that have the most influence to improve the interaction with m-Learning model within the universities.